The impact of empowering internal auditors on the quality of electronic internal audits: A case of Jordanian listed services companies

International Journal of Information Management Data Insights, Journal Year: 2023, Volume and Issue: 3(2), P. 100183 - 100183

Published: June 8, 2023

This study emphases on the top management empowerments to internal auditors, namely, general qualification, electronic qualification and independence, affecting quality of audits in Jordanian Listed Service Companies.This paper used 144 usable questionnaires from auditors listed service companies.The gathered data were analysed utilizing "Statistical Package for Social Sciences (SPSS)''.The results reveal that independence have a significant effect audits, as supported by resource-based view.Due importance companies' sector context Jordan, are helpful audit profession decision makers offering new legislation profession.Future research may consider other factors hinder such task complexity or organizational culture.

Language: Английский

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Solving the product uncertainty hurdle in social commerce: The mediating role of seller uncertainty

International Journal of Information Management Data Insights, Journal Year: 2023, Volume and Issue: 3(1), P. 100169 - 100169

Published: March 6, 2023

Social commerce, which combines the transactional side of e-commerce with social interactions, has grown in popularity throughout last years. Despite fact that issue uncertainty been extensively discussed, little is known about mechanisms customers commerce employ to lessen their perceptions uncertainty. The role various factors, including return policy leniency, information quality, seller popularity, reputation, and number positive comments, product still understood. Additionally, literature indicates more research required on mediating According empirical evidence from 471 customers, review comments all have significant negative effects In addition, results demonstrate partially mediates relationships between these factors customers' commerce. These findings reveal important implications for both practice theory.

Language: Английский

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How to Undertake an Impactful Literature Review: Understanding Review Approaches and Guidelines for High-impact Systematic Literature Reviews

South Asian Journal of Business and Management Cases, Journal Year: 2024, Volume and Issue: 13(1), P. 18 - 35

Published: Feb. 18, 2024

Literature reviews lay the foundation for academic investigations, especially early career researchers. However, in planning phase, we generally lack clarity on approaches, due to which a lot of review articles are rejected or fail create significant impact. The systematic literature (SLR) is one important methodologies increasingly becoming popular synthesize any discipline general and management particular. In this article, explain SLR methodology provide guidelines performing documenting these studies. Through processes, offer suggestions identify research gaps indicate directions. Lastly, article serves as guide researchers academics conducting an extensive review.

Language: Английский

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Decoding mood of the Twitterverse on ESG investing: opinion mining and key themes using machine learning

Management Research Review, Journal Year: 2024, Volume and Issue: 47(8), P. 1221 - 1252

Published: March 21, 2024

Purpose Grounded in the stakeholder theory and signaling theory, this study aims to broaden research agenda on environmental, social governance (ESG) investing by uncovering public sentiments key themes using Twitter data spanning from 2009 2022. Design/methodology/approach Using various machine learning models for text tonality analysis topic modeling, scrutinizes 1,842,985 texts extract prevalent ESG trends gauge their sentiment. Findings Gibbs Sampling Dirichlet Multinomial Mixture emerges as optimal modeling method, unveiling significant topics such “Physical risk of climate change,” “Employee Health, Safety well-being” “Water management Scarcity.” RoBERTa, an attention-based model, outperforms other sentiment analysis, revealing a predominantly positive shift toward over past five years. Research limitations/implications This establishes framework alternative data, offering foundation future research. Prospective studies can enhance insights incorporating additional media platforms like LinkedIn Facebook. Practical implications Leveraging unstructured provides novel avenue capture company-related information, supplementing traditional self-reported sustainability disclosures. approach opens new possibilities understanding company’s standing. Social By shedding light perceptions investing, uncovers influential factors that often elude corporate reporting. The findings empower both investors general public, aiding managers refining strategies. Originality/value marks groundbreaking contribution scholarly exploration, best authors’ knowledge, being first analyze context unique advancing emerging field.

Language: Английский

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Unpacking the influence of social media marketing activities on brand equity in the banking sector in Bangladesh: A moderated mediation analysis of brand experience and perceived uniqueness

International Journal of Information Management Data Insights, Journal Year: 2022, Volume and Issue: 2(2), P. 100140 - 100140

Published: Nov. 1, 2022

The main purpose of this paper was to explore the effect social media marketing activities (SMMAs) on brand equity (BEQ) through a moderated mediation analysis experience (BE) and perceived uniqueness (PU) in banking sector Bangladesh. Structural equation modeling (SEM) with AMOS 23 applied test research model sample 222 followers banks media. findings reveal that SMMAs positively substantially impact BEQ. In addition, BE mediates association between Interestingly, found have moderating influence link BE. This study contributes extant literature by investigating BEQ SMM context. Moreover, best author's knowledge, offers completely novel insight for bank marketers empirically confirming role robust pathway BE, which will plug present gap enrich literature.

Language: Английский

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Knowledge based topic retrieval for recommendations and tourism promotions

International Journal of Information Management Data Insights, Journal Year: 2022, Volume and Issue: 3(1), P. 100145 - 100145

Published: Dec. 11, 2022

The Users regularly share their views on services through internet reviews. Digital tourism allows travelers to plan and manage trips ahead of time using the internet. proposed system will enable users create recommender systems that can help find new places as per individual interests. portals such Tripadvisor Yelp assist in decision-making providing feedback. data available form reviews, blogs, rating researcher build a better recommendation promotion system. tourists discover restaurants often ignored due lack promotion. This research proposes an automated perform three subtasks: predicting star ratings from feedback model, knowledge-based experimental work results show Random Forest Decision Tree classifiers give highest accuracy for ratings. utilizes clustering topic modeling identify Moreover, this uses salience valence generate model. Furthermore, is developed user preferences, restaurant knowledge, each restaurant. Inverse Document Frequency K-means have been used improve quality construct CSR matrix. link with similar reviews ensure customers almost identical ones they enjoyed past.

Language: Английский

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Factors affecting the success of accounting information system from the lens of DeLone and McLean IS model

International Journal of Information Management Data Insights, Journal Year: 2023, Volume and Issue: 3(2), P. 100202 - 100202

Published: Oct. 3, 2023

The main objective of this research is to investigate the impact three different information system (IS) quality constructs, namely quality, service and as well internal control on both IS use user satisfaction. ultimate goal enhance success system. To achieve goal, a quantitative approach using survey questionnaire was employed collect data from 111 respondents who are familiar with AIS use. study utilized Smart PLS-SEM analyze collected test hypotheses. Additionally, proposed theoretical model based Delone McLean's Information System (D&M IS) Success Model support findings. results analysis revealed that paths leading utilization satisfaction were not significant through direct correlations. However, all other links involving found be according outcomes. This fills gap in limited understanding Jordan provides valuable contributions existing literature, particularly terms identifying determinants shaping net benefits derived AIS. validated Jordanian companies implementing AIS, can serve guide underscore importance Finally, highlights some implications, acknowledges limitations, presents prospects for subsequent endeavors.

Language: Английский

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A sentiment analysis framework to classify instances of sarcastic sentiments within the aviation sector

International Journal of Information Management Data Insights, Journal Year: 2023, Volume and Issue: 3(2), P. 100180 - 100180

Published: May 4, 2023

Social media in our current dispensation has become an integral part of daily routines. As a result, it is abundant user opinions. Amid global pandemic, these online platforms have taken center stage the disbursement relevant information such as travel, emergency and pandemic hotspots. For researchers, this situation presented itself challenge opportunity to leverage big data for analysis making informed decisions. This study seeks develop framework comprising three operators, namely Assemble+Deft, Edify+Authenticate Forecast classify opinion instances sarcastic or non-sarcastic. The tested with Twitter dataset using key state-of-the-art techniques, Recurrent Neural Network (RNN) Gated recurrent unit Support Vector Machines (SVM). consists opinions on effect COVID-19 air travel. evaluation metrics used include precision, accuracy, recall F1-score. experimental showed significant increase from 9.28% under standard sentiment review 10.1% optimized analysis. findings further show improvement performance SVM yielding improved prediction compared RNN. outcome will support airlines understand frustration complaints customers make concrete decisions how improve their services. serve benchmark future other sectors where customer views comments are core

Language: Английский

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Following too much on Facebook brand page: A concept of brand overload and its validation

International Journal of Information Management, Journal Year: 2023, Volume and Issue: 73, P. 102682 - 102682

Published: July 21, 2023

Language: Английский

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Multi-lingual opinion mining for social media discourses: an approach using deep learning based hybrid fine-tuned smith algorithm with adam optimizer

International Journal of Information Management Data Insights, Journal Year: 2023, Volume and Issue: 3(2), P. 100182 - 100182

Published: May 22, 2023

Multi-lingual opinion mining has become an important research area in natural language processing, particularly the context of social media, as it provides valuable insights from user-generated content. In this paper, a deep learning approach based on hybrid fine-tuned Smith algorithm with Adam optimizer (HFS-AO) is proposed for multi-lingual mining. The can process three different languages, namely Marathi, Hindi, and English, which are collected various web resources using scraping algorithm. data annotated Zero-shot instance-weighting technique pre-processed to remove unnecessary noises symbols, including transformation, cleaning reduction, stop-word removal, tokenization, lemmatization, stemming, Parts Speech Tagging (POS). Naive Bayes vectorization Laplace smoothing used text vectorization, followed by feature selection classification polarity classification. method effective extracting media languages. demonstrated high accuracy, precision, recall, F1-Score values, making useful tool improving performance customer satisfaction identifying patterns trends public opinion. Additionally, outperforms other existing methods, PGM, MCM, CNN, NBi-LSTM, terms computational time contribution field information management.

Language: Английский

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